Evolutionary Dynamics of Complex Networks of HIV Drug-Resistant Strains: The Case of San Francisco.
Over the past two decades, HIV resistance to antiretrovirals has risen to high levels in the wealthier countries of the world able to afford widespread treatment. The authors have gained insights into the evolution and transmission dynamics of ARV resistance by designing a biologically complex multistrain network model. Using this model, they traced the evolutionary history of antiretroviral resistance in San Francisco and predict the future dynamics. Using classification and regression trees, Smith and colleagues have identified the key immunologic, virologic, and treatment factors that increase antiretroviral resistance. Their modelling shows that 60% of the currently circulating antiretroviral-resistant strains in San Francisco are capable of causing self-sustaining epidemics, as each individual infected with one of these strains can cause on average more than one new resistant infection. It is possible that a new wave of antiretroviral-resistant strains that pose a significant threat to global public health is emerging.
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